142 research outputs found

    Understanding and responding when things go wrong: key principles for primary care educators

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    Learning from events with unwanted outcomes is an important part of workplace based education and providing evidence for medical appraisal and revalidation. It has been suggested that adopting a ‘systems approach’ could enhance learning and effective change. We believe the following key principles should be understood by all healthcare staff, especially those with a role in developing and delivering educational content for safety and improvement in primary care. When things go wrong, professional accountability involves accepting there has been a problem, apologising if necessary and committing to learn and change. This is easier in a ‘Just Culture’ where wilful disregard of safe practice is not tolerated but where decisions commensurate with training and experience do not result in blame and punishment. People usually attempt to achieve successful outcomes, but when things go wrong the contribution of hindsight and attribution bias as well as a lack of understanding of conditions and available information (local rationality) can lead to inappropriately blame ‘human error’. System complexity makes reduction into component parts difficult; thus attempting to ‘find-and-fix’ malfunctioning components may not always be a valid approach. Finally, performance variability by staff is often needed to meet demands or cope with resource constraints. We believe understanding these core principles is a necessary precursor to adopting a ‘systems approach’ that can increase learning and reduce the damaging effects on morale when ‘human error’ is blamed. This may result in ‘human error’ becoming the starting point of an investigation and not the endpoint

    Understanding patient safety performance and educational needs using the ‘Safety-II’ approach for complex systems

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    Participation in projects to improve patient safety is a key component of general practice (GP) specialty training, appraisal and revalidation. Patient safety training priorities for GPs at all career stages are described in the Royal College of General Practitioners’ curriculum. Current methods that are taught and employed to improve safety often use a ‘find-and-fix’ approach to identify components of a system (including humans) where performance could be improved. However, the complex interactions and inter-dependence between components in healthcare systems mean that cause and effect are not always linked in a predictable manner. The Safety-II approach has been proposed as a new way to understand how safety is achieved in complex systems that may improve quality and safety initiatives and enhance GP and trainee curriculum coverage. Safety-II aims to maximise the number of events with a successful outcome by exploring everyday work. Work-as-done often differs from work-as-imagined in protocols and guidelines and various ways to achieve success, dependent on work conditions, may be possible. Traditional approaches to improve the quality and safety of care often aim to constrain variability but understanding and managing variability may be a more beneficial approach. The application of a Safety-II approach to incident investigation, quality improvement projects, prospective analysis of risk in systems and performance indicators may offer improved insight into system performance leading to more effective change. The way forward may be to combine the Safety-II approach with ‘traditional’ methods to enhance patient safety training, outcomes and curriculum coverage

    Improving management of gout in primary care using a customised electronic records template

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    It is known that the management of chronic gout in relation to serum uric acid (SUA) monitoring, allopurinol dosing, and lifestyle advice is often sub-optimal in primary care.[1] A quality improvement project in the form of a criterion based audit was carried out in an urban general practice to improve the care of patients being treated for gout. Baseline searching of EMIS confirmed that management of patients with gout who were taking allopurinol was not in line with current guidance. 51(40%) had a SUA checked in the past 12 months, 88(25%) had a SUA below target level, and gout lifestyle advice was not being recorded. An audit was performed to measure and improve the following criteria: •Monitoring of SUA levels in the past 12 months •Titration of urate lowering therapy to bring the SUA below target level •Lifestyle advice in the past 12 months An audit standard of 60% achievement at 2 months and 80% achievement at 4 months was set. The intervention consisted of a custom electronic template within EMIS which allowed guidance of gout management to be displayed and for data to be entered. All members of the team including GPs and administrative staff were educated regarding the intervention. This resulted in a sustained improvement over a 6 month period in all 3 components of the audit with 112(84%) having a SUA level checked, 79(51%) having a SUA below target level and 76(57%) receiving lifestyle advice. Although the improvement did not reach the audit standard in 2 of the criteria it would be expected that outcomes would continue given the systems changes which have been made.Publisher PDFPeer reviewe

    Using Always Events to derive patient-centred quality improvement priorities in a specialist primary care service providing care to a homeless population

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    Background: ‘Always Events’ (AE) is a validated quality improvement (QI) method where patients, and/or carers, are asked what is so important that it should ‘always’ happen when they interact with healthcare services. Answers that meet defined criteria can be used to direct patient-centred QI activities. This method has never, to our knowledge, been applied in the care of a UK homeless population. We aimed to test the aspects of the acceptability and feasibility of the AE method to inform on its potential application to improve care for this vulnerable group of patients. Methods: All patients attending three consecutive drop-in clinics at a specialist homeless general practitioner service in Glasgow, who agreed to participate, were interviewed. Anonymised responses were transcribed and coded and a thematic analysis performed. Themes were summarised to generate candidate AE using the patient’s own words. The authors then determined if they met the AE criteria. Results: Twenty out of 22 eligible patients were interviewed. Oral transcribing was found to be an acceptable way to gather data in this group. Nine candidate AEs were generated, of which five fitted the criteria to be used as metrics for future QI projects. This project generated AEs and QI targets, and highlighted issues of importance to patients that could be easily addressed. Conclusion: In the homeless context, obtaining high engagement and useful patient feedback, in a convenient way, is difficult. The AE method is an acceptable and feasible tool for generating QI targets that can lead to improvements in care for this vulnerable group

    A systematic review and meta-analysis of the effectiveness of pharmacist-led medication reconciliation in the community after hospital discharge

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    BACKGROUND Pharmacists’ completion of medication reconciliation in the community after hospital discharge is intended to reduce harm due to prescribed or omitted medication and increase healthcare efficiency, but the effectiveness of this approach is not clear. We systematically review the literature to evaluate intervention effectiveness in terms of discrepancy identification and resolution, clinical relevance of resolved discrepancies and healthcare utilisation, including readmission rates, emergency department attendance and primary care workload. DESIGN Systematic literature review and meta-analysis of extracted data. METHODS Medline, CINHAL, EMBASE, AMED, ERIC, SCOPUS, NHS evidence and the Cochrane databases were searched using a combination of Medical Subject Heading (MeSH) terms and free text search terms. Controlled studies evaluating pharmacist-led medication reconciliation in the community after hospital discharge were included. Study quality was appraised using CASP. Evidence was assessed through meta-analysis of readmission rates. Discrepancy identification rates, emergency department attendance and primary care workload were assessed narratively. RESULTS Fourteen studies were included comprising five RCTs, six cohort studies and three pre-post intervention studies. Twelve studies had a moderate or high risk of bias. Increased identification and resolution of discrepancies was demonstrated in the four studies where this was evaluated. Reduction in clinically relevant discrepancies was reported in two studies. Meta-analysis did not demonstrate a significant reduction in readmission rate. There was no consistent evidence of reduction in emergency department attendance or primary care workload. CONCLUSIONS Pharmacists can identify and resolve discrepancies when completing medication reconciliation after hospital discharge but patient outcome or care workload improvements were not consistently seen. Future research should examine the clinical relevance of discrepancies and potential benefits on reducing healthcare team workload

    The past, present and future of patient safety education and research in primary care

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    In the first series of related articles, we describe how assurance of patient safety in primary care was traditionally viewed by the medical profession hierarchy as being wholly dependent at the individual level upon a combination of education and training, knowledge, skill, experience and commitment to professional development. As well as summarising the evidence underpinning what we know about patient safety in primary care, we outline how contemporary thinking has evolved to recognise that the safety issue is complex, problematic and systemic, and that it is now beginning to attract the attention of national policymakers, educators and research funders in some countries. We also describe a range of recently developed educational safety concepts and methods that have been implemented as part of current national programme initiatives in the United Kingdom and internationally. Finally, we reflect on international progress on patient safety in primary care thus far; propose a future direction for related education, development and research; and briefly introduce the Human Factors based topics to be addressed in the forthcoming series of interrelated articles in this journal

    Development and application of 'systems thinking' principles for quality improvement

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    Introduction: ‘Systems thinking’ is often recommended in healthcare to support quality and safety activities but a shared understanding of this concept and purposeful guidance on its application are limited. Healthcare systems have been described as complex where human adaptation to localised circumstances is often necessary to achieve success. Principles for managing and improving system safety developed by the European Organisation for the Safety of Air Navigation (EUROCONTROL; a European intergovernmental air navigation organisation) incorporate a ‘Safety-II systems approach’ to promote understanding of how safety may be achieved in complex work systems. We aimed to adapt and contextualise the core principles of this systems approach and demonstrate the application in a healthcare setting. Methods: The original EUROCONTROL principles were adapted using consensus-building methods with front-line staff and national safety leaders. Results: Six interrelated principles for healthcare were agreed. The foundation concept acknowledges that ‘most healthcare problems and solutions belong to the system’. Principle 1 outlines the need to seek multiple perspectives to understand system safety. Principle 2 prompts us to consider the influence of prevailing work conditions—demand, capacity, resources and constraints. Principle 3 stresses the importance of analysing interactions and work flow within the system. Principle 4 encourages us to attempt to understand why professional decisions made sense at the time and principle 5 prompts us to explore everyday work including the adjustments made to achieve success in changing system conditions. A case study is used to demonstrate the application in an analysis of a system and in the subsequent improvement intervention design. Conclusions: Application of the adapted principles underpins, and is characteristic of, a holistic systems approach and may aid care team and organisational system understanding and improvement

    A study to assess changes in myocardial perfusion after treatment with spinal cord stimulation and percutaneous myocardial laser revascularisation; data from a randomised trial

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    <p>Abstract</p> <p>Background</p> <p>Spinal cord stimulation (SCS) and percutaneous myocardial laser revascularisation (PMR) are treatment modalities used to treat refractory angina pectoris, with the major aim of such treatment being the relief of disabling symptoms. This study compared the change in myocardial perfusion following SCS and PMR treatment.</p> <p>Methods</p> <p>Subjects with Canadian Cardiovascular Society class 3/4 angina and reversible perfusion defects as assessed by single-photon emission computed tomographic myocardial perfusion scintigraphy were randomised to SCS (34) or PMR (34). 28 subjects in each group underwent repeat myocardial perfusion imaging 12 months post intervention. Visual scoring of perfusion images was performed using a 20-segment model and a scale of 0 to 4.</p> <p>Results</p> <p>The mean (standard deviation) baseline summed rest score (SRS) and stress scores (SSS) were 4.6 (5.7) and 13.6 (9.0) in the PMR group and 6.1 (7.4) and 16.8 (11.6) in the SCS group. At 12 months, SRS was 5.5 (6.0) and SSS 15.3 (11.3) in the PMR group and 6.9 (8.2) and 15.1 (10.9) in the SCS group. There was no significant difference between the two treatment groups adjusted for baseline (p = 1.0 for SRS, p = 0.29 for SSS).</p> <p>Conclusion</p> <p>There was no significant difference in myocardial perfusion one year post treatment with SCS or PMR.</p

    Functional Brain Network Modularity Captures Inter- and Intra-Individual Variation in Working Memory Capacity

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    Cognitive abilities, such as working memory, differ among people; however, individuals also vary in their own day-to-day cognitive performance. One potential source of cognitive variability may be fluctuations in the functional organization of neural systems. The degree to which the organization of these functional networks is optimized may relate to the effective cognitive functioning of the individual. Here we specifically examine how changes in the organization of large-scale networks measured via resting state functional connectivity MRI and graph theory track changes in working memory capacity.Twenty-two participants performed a test of working memory capacity and then underwent resting-state fMRI. Seventeen subjects repeated the protocol three weeks later. We applied graph theoretic techniques to measure network organization on 34 brain regions of interest (ROI). Network modularity, which measures the level of integration and segregation across sub-networks, and small-worldness, which measures global network connection efficiency, both predicted individual differences in memory capacity; however, only modularity predicted intra-individual variation across the two sessions. Partial correlations controlling for the component of working memory that was stable across sessions revealed that modularity was almost entirely associated with the variability of working memory at each session. Analyses of specific sub-networks and individual circuits were unable to consistently account for working memory capacity variability.The results suggest that the intrinsic functional organization of an a priori defined cognitive control network measured at rest provides substantial information about actual cognitive performance. The association of network modularity to the variability in an individual's working memory capacity suggests that the organization of this network into high connectivity within modules and sparse connections between modules may reflect effective signaling across brain regions, perhaps through the modulation of signal or the suppression of the propagation of noise
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